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ACL
2008
15 years 8 months ago
Applying a Grammar-Based Language Model to a Simplified Broadcast-News Transcription Task
We propose a language model based on a precise, linguistically motivated grammar (a hand-crafted Head-driven Phrase Structure Grammar) and a statistical model estimating the proba...
Tobias Kaufmann, Beat Pfister
175
Voted
ESANN
2003
15 years 8 months ago
Modeling of growing networks with directional attachment and communities
In this paper, we propose a new network growth model and its learning algorithm to more precisely model such a real-world growing network as the Web. Unlike the conventional model...
Masahiro Kimura, Kazumi Saito, Naonori Ueda
CSDA
2007
108views more  CSDA 2007»
15 years 6 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
INFORMATICALT
2011
112views more  INFORMATICALT 2011»
15 years 1 months ago
The Minimum Density Power Divergence Approach in Building Robust Regression Models
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
Alessandra Durio, Ennio Davide Isaia
ICASSP
2011
IEEE
14 years 10 months ago
Directions-of-arrival estimation using a sparse spatial spectrum model with uncertainty
This paper is concerned with the estimation of the directionsof-arrival (DOA) of narrowband sources using a sparse spatial spectral model, when the model itself is not precise. Wh...
Jimeng Zheng, Mostafa Kaveh